{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from sklearn import linear_model\n",
    "import matplotlib.pyplot as plt\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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U6guwEIDjjy/eLaS89loVJ53Um/r6pl+/urpal4JERGS/qLKS4xIb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\nG+gmzvAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x183d8813b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#read data\n",
    "dataframe = pd.read_fwf('input/brain_body.txt')\n",
    "x_values = dataframe[['Brain']]\n",
    "y_values = dataframe[['Body']]\n",
    "\n",
    "#train model on data\n",
    "body_reg = linear_model.LinearRegression()\n",
    "body_reg.fit(x_values, y_values)\n",
    "\n",
    "#visualize results\n",
    "plt.scatter(x_values, y_values)\n",
    "plt.plot(x_values, body_reg.predict(x_values))\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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e8xBB3MvFsV8ie9CVwPFIkJgXCxckFetMpInFM8ANZL84AfBhWWMIh6cxduzZ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koHIcFTrmu/k/O6Kue47/tcpyHjtag06UcohH0O8lQvR80vitVpyZDxOuB3qLtVCcrN3o+U9Gei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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x183d8bdf278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "import matplotlib.pyplot as plt\n",
    "import random\n",
    "\n",
    "def fun(x, y):\n",
    "  return x**2 + y\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "x = y = np.arange(-3.0, 3.0, 0.05)\n",
    "X, Y = np.meshgrid(x, y)\n",
    "zs = np.array([fun(x,y) for x,y in zip(np.ravel(X), np.ravel(Y))])\n",
    "Z = zs.reshape(X.shape)\n",
    "\n",
    "ax.plot_surface(X, Y, Z)\n",
    "\n",
    "ax.set_xlabel('X Label')\n",
    "ax.set_ylabel('Y Label')\n",
    "ax.set_zlabel('Z Label')\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
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